Sensors,
Journal Year:
2025,
Volume and Issue:
25(10), P. 2960 - 2960
Published: May 8, 2025
With
the
rapid
development
of
Computerized
Numerical
Control
(CNC)
systems,
traditional
industrial
communication
protocols
fail
to
meet
requirements
for
high
real-time
performance
and
reliability.
To
address
these
challenges,
an
open
five-axis
CNC
system
is
designed
implemented
based
on
gLink-II
bus
protocol.
This
features
a
layered
architecture
that
integrates
Windows
operating
with
Real-Time
Operating
System
(RTOS)
kernel,
along
multithreaded
data
interaction
structure
circular
buffer
enhance
transmission
improve
responsiveness.
In
direct
linear
interpolation
control
machining,
acceleration
deceleration
planning
method
introduced,
taking
into
account
kinematic
constraints
rotary
axes.
optimizes
velocity
control.
The
experimental
results
show
achieves
maximum
response
error
less
than
0.2
milliseconds
period
0.5
in
coordinated
capable
efficiently
performing
processing
task
scheduling,
ensuring
stability
machining
process.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(3), P. 637 - 637
Published: Jan. 22, 2025
This
study
aims
to
establish
an
equivalent
parallel
capacitance
model
for
a
copper/polydimethylsiloxane
(Cu/PDMS)
capacitive
flexible
pressure
sensor
and
modulate
its
relative
permittivity
optimize
sensing
performance.
The
Cu/PDMS
composite
material
is
ideal
dielectric
layer
sensors
due
high
constant
tunable
elasticity.
By
adjusting
the
different
mixing
ratios
of
PDMS
copper
particles
in
micro
size,
components
structure
properties
can
be
modified,
thereby
affecting
electrical
mechanical
performance
sensor.
We
used
finite
element
analysis
(FEA)
studied
changes
under
various
normal
loading
conditions
assess
sensitivity
distribution
characteristics.
Experimental
results
show
that
has
good
repeatability
range
0
50
kPa.
Additionally,
we
explored
effect
addition
carbon
black
particles.
It
could
inferred
added
enhance
conductivity,
which
would
consequenced
by
optimization
Cu
black’s
low
density,
it
mechanically
restore
some
flexibility
up
nearly
20%.
Through
these
studies,
our
work
provide
theoretical
support
design
application
sensors.
Nano-Micro Letters,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: March 11, 2025
Abstract
Photonic
computing
has
emerged
as
a
promising
technology
for
the
ever-increasing
computational
demands
of
machine
learning
and
artificial
intelligence.
Due
to
advantages
in
speed,
integrated
photonic
chips
have
attracted
wide
research
attention
on
performing
convolutional
neural
network
algorithm.
Programmable
are
vital
achieving
practical
applications
computing.
Herein,
programmable
chip
based
ultrafast
laser-induced
phase
change
is
fabricated
Through
designing
laser
pulses,
Sb
film
into
waveguides
can
be
reversibly
switched
between
crystalline
amorphous
phase,
resulting
large
contrast
refractive
index
extinction
coefficient.
As
consequence,
light
transmission
write
erase
states.
To
determine
time,
transient
dynamics
revealed
at
atomic
scale,
time-resolved
reflectivity
measured.
Based
chip,
networks
built
implement
algorithm,
images
recognition
task
achieved.
This
work
paves
route
fabricating
by
designed
laser,
which
will
facilitate
application
Nano-Micro Letters,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: March 13, 2025
Abstract
Despite
great
progress
in
developing
mode-selective
light
emission
technologies
based
on
self-emitting
materials,
few
rewritable
displays
with
multiple
emissions
have
been
demonstrated.
Herein,
we
present
a
triple-mode
light-emitting
display
enabled
by
stimuli-interactive
fluorescence
(FL),
room-temperature
phosphorescence
(RTP),
and
electroluminescence
(EL).
The
comprises
coplanar
electrodes
separated
gap,
polymer
composite
FL
inorganic
phosphors
(EL/FL
layer),
solvent-responsive
RTP
additives
(RTP
layer).
Upon
254
nm
UV
exposure,
dual-mode
of
occurs
from
the
EL/FL
layers,
respectively.
When
polar
liquid,
besides
water,
is
applied
an
AC
field
between
electrodes,
EL
layer
triggered,
operates
triple
mode.
Interestingly,
when
water
to
display,
mode
deactivated,
rendering
operate
dual
EL.
By
manipulating
evaporation
liquids
FL,
RTP,
display.
Additionally,
high-security
full-color
information
encryption
demonstrated,
wherein
digital
numbers,
letters,
Morse
code
encoded
one
optical
only
deciphered
properly
matched
that
other
two
modes.
Thus,
this
article
outlines
strategy
fulfill
substantial
demand
for
personalized
multi-light-emitting
displays.
Nano-Micro Letters,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: March 24, 2025
Abstract
Rapid
development
of
artificial
intelligence
requires
the
implementation
hardware
systems
with
bioinspired
parallel
information
processing
and
presentation
energy
efficiency.
Electrolyte-gated
organic
transistors
(EGOTs)
offer
significant
advantages
as
neuromorphic
devices
due
to
their
ultra-low
operation
voltages,
minimal
hardwired
connectivity,
similar
environment
electrophysiology.
Meanwhile,
ionic–electronic
coupling
relatively
low
elastic
moduli
channel
materials
make
EGOTs
suitable
for
interfacing
biology.
This
review
presents
an
overview
device
architectures
based
on
electrochemical
field-effect
transistors.
Furthermore,
we
requirements
consumption
tunable
synaptic
plasticity
in
emulating
biological
synapses
how
they
are
affected
by
materials,
electrolyte,
architecture,
mechanism.
In
addition,
summarize
basic
principle
sensory
recent
progress
a
building
block
systems.
Finally,
current
challenges
future
discussed.
Nano-Micro Letters,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: April 11, 2025
Abstract
Terahertz
(THz)
devices,
owing
to
their
distinctive
optical
properties,
have
achieved
myriad
applications
in
diverse
domains
including
wireless
communication,
medical
imaging
therapy,
hazardous
substance
detection,
and
environmental
governance.
Concurrently,
mitigate
the
impact
of
electronic
waste
generated
by
traditional
materials,
sustainable
materials-based
THz
functional
devices
are
being
explored
for
further
research
taking
advantages
eco-friendliness,
cost-effective,
enhanced
safety,
robust
biodegradability
biocompatibility.
This
review
focuses
on
origins
biological
structures
materials
as
well
succinctly
elucidates
latest
device
fabrication,
communication
macromolecule
detection
sensors,
environment
monitoring
biomedical
therapeutic
devices.
We
highlight
recent
protein-based
monitoring.
Besides,
this
explores
developmental
prospects
integrating
with
presenting
potential
future.
Nano-Micro Letters,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: April 14, 2025
Abstract
As
an
emerging
memory
device,
memristor
shows
great
potential
in
neuromorphic
computing
applications
due
to
its
advantage
of
low
power
consumption.
This
review
paper
focuses
on
the
application
low-power-based
memristors
various
aspects.
The
concept
and
structure
devices
are
introduced.
selection
functional
materials
for
low-power
is
discussed,
including
ion
transport
materials,
phase
change
magnetoresistive
ferroelectric
materials.
Two
common
types
arrays,
1T1R
1S1R
crossbar
arrays
introduced,
physical
diagrams
edge
chips
discussed
detail.
Potential
advanced
multi-value
storage,
digital
logic
gates,
analogue
summarized.
Furthermore,
future
challenges
outlook
based
deeply
discussed.